Software services for the work that matters.

Quillmark designs, builds, connects, and supports practical software systems: web applications, websites, integrations, automation, AI tools, and cloud-backed workflows. We also help decide when the right answer is to buy, adapt, or simplify instead of building from scratch.

Service offering.

Quillmark is useful when the work needs both product judgment and hands-on implementation. The engagement can be a focused decision, a build, a rescue, an integration, or ongoing ownership after launch.

Applications

Custom web applications and internal tools

Operational workflows, dashboards, client portals, admin tools, forms, reporting surfaces, and public-facing applications built around how the work actually happens.

Websites

Website design, development, and CMS work

Static sites, marketing sites, content systems, practical redesigns, performance improvements, migrations, and custom WordPress or Drupal work when a CMS is the right fit.

Integrations

Systems integration and automation

Connections between CRMs, marketing systems, analytics tools, payment flows, forms, vendor APIs, Microsoft 365, Google Workspace, email, and the data that moves between them.

AI

AI and LLM systems with a real workflow

AI-assisted tools, LLM integrations, retrieval and review workflows, MCP servers, and plugins or skills for tools like Claude, Codex, and ChatGPT when they serve a concrete business use.

Cloud

Cloud application architecture and operations

Application-focused cloud work: deployments, serverless functions, databases, storage, authentication, observability, security-minded configuration, and maintainable release paths.

Ownership

Product ownership and delivery support

Roadmaps, vendor evaluation, backlog triage, release planning, QA automation, Agile or product management coaching, documentation, and steady responsibility after launch.

Technologies we work with.

The stack should follow the problem. These are common areas where Quillmark can work directly, evaluate tradeoffs, or coordinate with an existing team or provider.

Web and application development

HTML, CSS, JavaScript, TypeScript, React, Next.js, Node.js, Python, static sites, APIs, and application tooling.

CMS and content platforms

WordPress, Drupal, custom themes, plugin work, migrations, editorial workflows, search, performance, and accessibility improvements.

Cloud, data, and application infrastructure

AWS, Google Cloud, Azure, Firebase, serverless functions, databases, storage, authentication, hosting, deployments, and monitoring.

AI, automation, and business systems

LLM APIs, AI-assisted workflows, Claude, Codex, and ChatGPT custom plugins/skills, MCP servers, CRM and marketing integrations, analytics, Microsoft 365, Google Workspace, vendor APIs, and workflow automation.

Showing our work in public

Compliance Flag is a Quillmark open-source Python CLI for structured SEC Marketing Rule review support. It reflects how we like AI-assisted systems to work: traceable, inspectable, and designed to support human judgment.

When this is a good fit.

This work fits when the system matters, but your team does not have the time, desire, or context to own every product decision around it.

01

You need a build-vs-buy decision you can trust.

You want custom software, open source, commercial tools, and simpler process changes evaluated on their merits, not pushed toward a preferred answer.

02

The work crosses teams, tools, or vendors.

The problem needs product judgment, engineering judgment, and coordination across the actual business, not just isolated tickets.

03

Your team will depend on the system, but should not have to own it alone.

You need an outside owner who can stay responsible for usefulness, support, and improvement after launch.

04

You want control without becoming trapped.

You want your accounts, contracts, access, documentation, and handoff path to stay clear.

A practical first step.

The cleanest starting point is usually a short engagement. The purpose is to understand the problem, compare realistic options, name the tradeoffs, and decide whether implementation should proceed.

If the answer is to build, adapt, or integrate, the next engagement can be scoped from that decision. If the better answer is an existing product, a simpler process change, or no project at all, that should be said plainly.